Cardiotocography Data Set - Fetal state classification — Part 1

This article gives a summary about the cardiotocography dataset and how to do an simple EDA on it. The full R-script is provided at the end of the article. Please leave me a comment if you have any…

Frontiers DeepCTG® 1.0: an interpretable model to detect fetal hypoxia from cardiotocography data during labor and delivery

Fetal Heart Rate Monitoring – Principles and Intepretation of Cardiotocography : WFSA - Resources

Enhanced Classification Accuracy for Cardiotocogram Data with Ensemble Feature Selection and Classifier Ensemble

Cardiotocography Analysis for Fetal State Classification Using Machine Learning Algorithms

Total number of normal (1), suspect (2), and pathological (3) data.

Random Forests — outline algorithmic principles, and detailed

Impact of Classification Algorithms on Cardiotocography Dataset

Frontiers Classification of Cardiotocography Based on the Apriori Algorithm and Multi-Model Ensemble Classifier

Rule-Based Algorithm for Intrapartum Cardiotocograph Pattern Feat

Phuong Del Rosario – Medium